Optimizing Product Data and Harnessing Generative AI - Sanjay Mehta - The Earley AI Podcast with Seth Earley - Episode #035

Optimizing Product Data and Harnessing Generative AI - Sanjay Mehta - The Earley AI Podcast with Seth Earley - Episode #035

Author: Seth Earley October 16, 2023 Duration: 43:05
Today’s guest is Sanjay Mehta, Head of Industry Commerce for LucidWorks. Sanjay joins Seth Earley and Chris Featherstone to the discuss the rapidly evolving hype of generative AI and how it can be applied to your industry. Takeaways: Sanjay points out that emerging AI is "not turn key". Maybe from a consumer side but when it comes to B2B there are many hoops to jump through before it's easy and effective.Data is the lifeblood of modern businesses, and its true potential shines when we connect...

Seth Earley sits down with a diverse mix of experts, from visionary thinkers to hands-on practitioners, for conversations that cut through the hype surrounding artificial intelligence. The Earley AI Podcast focuses on the tangible intersection of emerging technology and real-world business needs. Each discussion moves beyond abstract possibilities to examine the practical steps for implementing AI and machine learning within organizations. You’ll hear specific insights into data science, enterprise applications, and the evolving technological landscape. These episodes are grounded in the reality that AI is becoming deeply woven into both our professional tasks and personal routines. The dialogue consistently asks how we bridge the gap between ambitious potential and deployed, functional systems. For anyone curious about how these tools are actually built, integrated, and managed, this podcast offers a necessary and nuanced perspective. Seth guides these explorations with a focus on actionable knowledge, making complex topics accessible without oversimplifying the significant challenges and opportunities ahead. It’s a resource for understanding not just what AI can do in theory, but how it is changing our world in practice.
Author: Language: en-us Episodes: 87

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